Demand Forecasting-Supply Chain : End to End Guide

Congratulations You have  Found Out Highest Rated Course On Udemy For Demand Forecasting

“There are two kinds of forecasters: those who don't know, and those who don't know they don't know.”

Wouldn’t it be nice to see into the future of your business?

A study conducted by the Aberdeen Group found that companies that implement a formal forecasting process achieve 10% greater year-over-year revenue growth, 7% higher forecast accuracy, and 10% lower inventory levels than companies that don't have a formal process in place.

"Are you looking to improve your forecasting skills and take your career to the next level?

Whether you're a business analyst, data scientist, or operations manager, this course will provide you with the knowledge and skills you need to succeed. And with lifetime access to the course materials, you can learn at your own pace and revisit the content whenever you need to.

With business forecasting, this is a reality; by using current and historical data you are able to have accurate predictions for future trends and forecasts. With this increased visibility you can analyze your business as a whole with the utmost confidence in the data.

The course will start with the basic principles of forecasting and take you to advance industry practices.

You will learn to build the following Time Series models.

1. Naive Forecasting

2. Moving Average

3. Weighted Average

4. Exponential Smoothing

5. AR ( Auto Regressive )  Model

6 . ARIMA (Auto Regressive Integrated Moving Average ) Model

7. Linear Regression Model

8. Causal Models ( Coming Soon )

Not everyone is an expert in programming languages so excel can be good alternative or good start to build models.

Learning forecasting in excel is the foundation of learning forecasting in programming languages like Python and R.

Practice assignments for all the models forecasting and KPI calculation is part of the course. Get ready to make your hands dirty.

Most importantly you will learn the pros and cons of all these models mentioned above. These models form the fundamentals of all advanced forecasting models.

Also, you learn about following forecasting KPIs

1. Forecast Accuracy

2. Average Bias

3. MAPE ( Mean Absolute Percentage Error)

4. MAE( Mean Absolute Error)

5. RMSE( Root Mean Square Error)

Here's what Udemy students are saying about "Demand Forecasting-Supply Chain : End to End Guide "

"Liked how you shared pros and cons of all the forecasting models . The examples were good . KPIs section is explained in quite detail." - Shubham

"Good course must do it for better understanding of demand forecasting"- Vaibhav

"Instructor has excellent bullet points and displays the information clearly" - V.C

Enroll Now !!!!!